qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
80 vs 69
Hardware Fit
56 vs 100
Quality Score
90 vs 55
Hardware
qwen/qwen3.6-27b deepseek-v2:16b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM32 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.6-27b deepseek-v2:16b
Tokens/sec10.856.6
First chunk16 msN/A
TTFT2.6 s239 ms
Load timeN/A1.2 s
Memory usage21.0 GB17.7 GB
Memory %66%55%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
deepseek-v2:16b
Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest